Overview

Dataset statistics

Number of variables63
Number of observations266
Missing cells11532
Missing cells (%)68.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory160.5 KiB
Average record size in memory617.9 B

Variable types

Categorical2
Unsupported41
Numeric20

Alerts

Country Name has a high cardinality: 266 distinct values High cardinality
Country Code has a high cardinality: 266 distinct values High cardinality
2000 is highly correlated with 2001 and 18 other fieldsHigh correlation
2001 is highly correlated with 2000 and 18 other fieldsHigh correlation
2002 is highly correlated with 2000 and 18 other fieldsHigh correlation
2003 is highly correlated with 2000 and 18 other fieldsHigh correlation
2004 is highly correlated with 2000 and 18 other fieldsHigh correlation
2005 is highly correlated with 2000 and 18 other fieldsHigh correlation
2006 is highly correlated with 2000 and 18 other fieldsHigh correlation
2007 is highly correlated with 2000 and 18 other fieldsHigh correlation
2008 is highly correlated with 2000 and 18 other fieldsHigh correlation
2009 is highly correlated with 2000 and 18 other fieldsHigh correlation
2010 is highly correlated with 2000 and 18 other fieldsHigh correlation
2011 is highly correlated with 2000 and 18 other fieldsHigh correlation
2012 is highly correlated with 2000 and 18 other fieldsHigh correlation
2013 is highly correlated with 2000 and 18 other fieldsHigh correlation
2014 is highly correlated with 2000 and 18 other fieldsHigh correlation
2015 is highly correlated with 2000 and 18 other fieldsHigh correlation
2016 is highly correlated with 2000 and 18 other fieldsHigh correlation
2017 is highly correlated with 2000 and 18 other fieldsHigh correlation
2018 is highly correlated with 2000 and 18 other fieldsHigh correlation
2019 is highly correlated with 2000 and 18 other fieldsHigh correlation
2000 is highly correlated with 2001 and 18 other fieldsHigh correlation
2001 is highly correlated with 2000 and 18 other fieldsHigh correlation
2002 is highly correlated with 2000 and 18 other fieldsHigh correlation
2003 is highly correlated with 2000 and 18 other fieldsHigh correlation
2004 is highly correlated with 2000 and 18 other fieldsHigh correlation
2005 is highly correlated with 2000 and 18 other fieldsHigh correlation
2006 is highly correlated with 2000 and 18 other fieldsHigh correlation
2007 is highly correlated with 2000 and 18 other fieldsHigh correlation
2008 is highly correlated with 2000 and 18 other fieldsHigh correlation
2009 is highly correlated with 2000 and 18 other fieldsHigh correlation
2010 is highly correlated with 2000 and 18 other fieldsHigh correlation
2011 is highly correlated with 2000 and 18 other fieldsHigh correlation
2012 is highly correlated with 2000 and 18 other fieldsHigh correlation
2013 is highly correlated with 2000 and 18 other fieldsHigh correlation
2014 is highly correlated with 2000 and 18 other fieldsHigh correlation
2015 is highly correlated with 2000 and 18 other fieldsHigh correlation
2016 is highly correlated with 2000 and 18 other fieldsHigh correlation
2017 is highly correlated with 2000 and 18 other fieldsHigh correlation
2018 is highly correlated with 2000 and 18 other fieldsHigh correlation
2019 is highly correlated with 2000 and 18 other fieldsHigh correlation
2000 is highly correlated with 2001 and 18 other fieldsHigh correlation
2001 is highly correlated with 2000 and 18 other fieldsHigh correlation
2002 is highly correlated with 2000 and 18 other fieldsHigh correlation
2003 is highly correlated with 2000 and 18 other fieldsHigh correlation
2004 is highly correlated with 2000 and 18 other fieldsHigh correlation
2005 is highly correlated with 2000 and 18 other fieldsHigh correlation
2006 is highly correlated with 2000 and 18 other fieldsHigh correlation
2007 is highly correlated with 2000 and 18 other fieldsHigh correlation
2008 is highly correlated with 2000 and 18 other fieldsHigh correlation
2009 is highly correlated with 2000 and 18 other fieldsHigh correlation
2010 is highly correlated with 2000 and 18 other fieldsHigh correlation
2011 is highly correlated with 2000 and 18 other fieldsHigh correlation
2012 is highly correlated with 2000 and 18 other fieldsHigh correlation
2013 is highly correlated with 2000 and 18 other fieldsHigh correlation
2014 is highly correlated with 2000 and 18 other fieldsHigh correlation
2015 is highly correlated with 2000 and 18 other fieldsHigh correlation
2016 is highly correlated with 2000 and 18 other fieldsHigh correlation
2017 is highly correlated with 2000 and 18 other fieldsHigh correlation
2018 is highly correlated with 2000 and 18 other fieldsHigh correlation
2019 is highly correlated with 2000 and 18 other fieldsHigh correlation
2000 is highly correlated with 2001 and 18 other fieldsHigh correlation
2001 is highly correlated with 2000 and 18 other fieldsHigh correlation
2002 is highly correlated with 2000 and 18 other fieldsHigh correlation
2003 is highly correlated with 2000 and 18 other fieldsHigh correlation
2004 is highly correlated with 2000 and 18 other fieldsHigh correlation
2005 is highly correlated with 2000 and 18 other fieldsHigh correlation
2006 is highly correlated with 2000 and 18 other fieldsHigh correlation
2007 is highly correlated with 2000 and 18 other fieldsHigh correlation
2008 is highly correlated with 2000 and 18 other fieldsHigh correlation
2009 is highly correlated with 2000 and 18 other fieldsHigh correlation
2010 is highly correlated with 2000 and 18 other fieldsHigh correlation
2011 is highly correlated with 2000 and 18 other fieldsHigh correlation
2012 is highly correlated with 2000 and 18 other fieldsHigh correlation
2013 is highly correlated with 2000 and 18 other fieldsHigh correlation
2014 is highly correlated with 2000 and 18 other fieldsHigh correlation
2015 is highly correlated with 2000 and 18 other fieldsHigh correlation
2016 is highly correlated with 2000 and 18 other fieldsHigh correlation
2017 is highly correlated with 2000 and 18 other fieldsHigh correlation
2018 is highly correlated with 2000 and 18 other fieldsHigh correlation
2019 is highly correlated with 2000 and 18 other fieldsHigh correlation
1960 has 266 (100.0%) missing values Missing
1961 has 266 (100.0%) missing values Missing
1962 has 266 (100.0%) missing values Missing
1963 has 266 (100.0%) missing values Missing
1964 has 266 (100.0%) missing values Missing
1965 has 266 (100.0%) missing values Missing
1966 has 266 (100.0%) missing values Missing
1967 has 266 (100.0%) missing values Missing
1968 has 266 (100.0%) missing values Missing
1969 has 266 (100.0%) missing values Missing
1970 has 266 (100.0%) missing values Missing
1971 has 266 (100.0%) missing values Missing
1972 has 266 (100.0%) missing values Missing
1973 has 266 (100.0%) missing values Missing
1974 has 266 (100.0%) missing values Missing
1975 has 266 (100.0%) missing values Missing
1976 has 266 (100.0%) missing values Missing
1977 has 266 (100.0%) missing values Missing
1978 has 266 (100.0%) missing values Missing
1979 has 266 (100.0%) missing values Missing
1980 has 266 (100.0%) missing values Missing
1981 has 266 (100.0%) missing values Missing
1982 has 266 (100.0%) missing values Missing
1983 has 266 (100.0%) missing values Missing
1984 has 266 (100.0%) missing values Missing
1985 has 266 (100.0%) missing values Missing
1986 has 266 (100.0%) missing values Missing
1987 has 266 (100.0%) missing values Missing
1988 has 266 (100.0%) missing values Missing
1989 has 266 (100.0%) missing values Missing
1990 has 266 (100.0%) missing values Missing
1991 has 266 (100.0%) missing values Missing
1992 has 266 (100.0%) missing values Missing
1993 has 266 (100.0%) missing values Missing
1994 has 266 (100.0%) missing values Missing
1995 has 266 (100.0%) missing values Missing
1996 has 266 (100.0%) missing values Missing
1997 has 266 (100.0%) missing values Missing
1998 has 266 (100.0%) missing values Missing
1999 has 266 (100.0%) missing values Missing
2000 has 34 (12.8%) missing values Missing
2001 has 34 (12.8%) missing values Missing
2002 has 33 (12.4%) missing values Missing
2003 has 31 (11.7%) missing values Missing
2004 has 31 (11.7%) missing values Missing
2005 has 31 (11.7%) missing values Missing
2006 has 31 (11.7%) missing values Missing
2007 has 31 (11.7%) missing values Missing
2008 has 31 (11.7%) missing values Missing
2009 has 31 (11.7%) missing values Missing
2010 has 30 (11.3%) missing values Missing
2011 has 29 (10.9%) missing values Missing
2012 has 30 (11.3%) missing values Missing
2013 has 31 (11.7%) missing values Missing
2014 has 31 (11.7%) missing values Missing
2015 has 31 (11.7%) missing values Missing
2016 has 32 (12.0%) missing values Missing
2017 has 31 (11.7%) missing values Missing
2018 has 31 (11.7%) missing values Missing
2019 has 32 (12.0%) missing values Missing
2020 has 266 (100.0%) missing values Missing
Country Name is uniformly distributed Uniform
Country Code is uniformly distributed Uniform
Country Name has unique values Unique
Country Code has unique values Unique
1960 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1961 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1962 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1963 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1964 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1965 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1966 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1967 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1968 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1969 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1970 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1971 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1972 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1973 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1974 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1975 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1976 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1977 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1978 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1979 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1980 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1981 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1982 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1983 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1984 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1985 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1986 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1987 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1988 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1989 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1990 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1991 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1992 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1993 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1994 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1995 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1996 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1997 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1998 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1999 is an unsupported type, check if it needs cleaning or further analysis Unsupported
2020 is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2022-04-02 20:03:35.675470
Analysis finished2022-04-02 20:04:19.710260
Duration44.03 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

Country Name
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct266
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size18.2 KiB
Aruba
 
1
Oman
 
1
Malawi
 
1
Malaysia
 
1
North America
 
1
Other values (261)
261 

Length

Max length52
Median length9
Mean length12.40225564
Min length4

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)100.0%

Sample

1st rowAruba
2nd rowAfrica Eastern and Southern
3rd rowAfghanistan
4th rowAfrica Western and Central
5th rowAngola

Common Values

ValueCountFrequency (%)
Aruba1
 
0.4%
Oman1
 
0.4%
Malawi1
 
0.4%
Malaysia1
 
0.4%
North America1
 
0.4%
Namibia1
 
0.4%
New Caledonia1
 
0.4%
Niger1
 
0.4%
Nigeria1
 
0.4%
Nicaragua1
 
0.4%
Other values (256)256
96.2%

Length

2022-04-02T15:04:19.798052image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20
 
4.0%
and12
 
2.4%
income11
 
2.2%
ida10
 
2.0%
islands9
 
1.8%
africa9
 
1.8%
ibrd8
 
1.6%
asia8
 
1.6%
countries7
 
1.4%
rep7
 
1.4%
Other values (310)404
80.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

Country Code
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct266
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.7 KiB
ABW
 
1
OMN
 
1
MWI
 
1
MYS
 
1
NAC
 
1
Other values (261)
261 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)100.0%

Sample

1st rowABW
2nd rowAFE
3rd rowAFG
4th rowAFW
5th rowAGO

Common Values

ValueCountFrequency (%)
ABW1
 
0.4%
OMN1
 
0.4%
MWI1
 
0.4%
MYS1
 
0.4%
NAC1
 
0.4%
NAM1
 
0.4%
NCL1
 
0.4%
NER1
 
0.4%
NGA1
 
0.4%
NIC1
 
0.4%
Other values (256)256
96.2%

Length

2022-04-02T15:04:19.900751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
abw1
 
0.4%
aut1
 
0.4%
btn1
 
0.4%
brn1
 
0.4%
afg1
 
0.4%
afw1
 
0.4%
ago1
 
0.4%
alb1
 
0.4%
and1
 
0.4%
arb1
 
0.4%
Other values (256)256
96.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1960
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1961
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1962
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1963
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1964
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1965
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1966
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1967
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1968
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1969
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1970
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1971
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1972
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1973
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1974
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1975
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1976
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1977
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1978
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1979
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1980
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1981
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1982
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1983
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1984
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1985
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1986
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1987
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1988
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1989
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1990
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1991
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1992
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1993
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1994
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1995
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1996
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1997
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1998
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1999
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct229
Distinct (%)98.7%
Missing34
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean2.932947052
Minimum0.06204571
Maximum24.11335373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:20.001539image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.06204571
5-th percentile0.5909759185
Q11.335879858
median2.35763948
Q33.978395585
95-th percentile6.30484676
Maximum24.11335373
Range24.05130802
Interquartile range (IQR)2.642515727

Descriptive statistics

Standard deviation2.430552192
Coefficient of variation (CV)0.8287064679
Kurtosis27.18020385
Mean2.932947052
Median Absolute Deviation (MAD)1.157077591
Skewness3.828605516
Sum680.443716
Variance5.907583957
MonotonicityNot monotonic
2022-04-02T15:04:20.127378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.7467618192
 
0.8%
0.87550546442
 
0.8%
1.8911689972
 
0.8%
1.672979241
 
0.4%
0.484851361
 
0.4%
1.550064211
 
0.4%
1.429715631
 
0.4%
1.173254731
 
0.4%
5.5738654191
 
0.4%
4.850664141
 
0.4%
Other values (219)219
82.3%
(Missing)34
 
12.8%
ValueCountFrequency (%)
0.062045711
0.4%
0.262589311
0.4%
0.2909681
0.4%
0.30125181
0.4%
0.319059251
0.4%
0.469694471
0.4%
0.484851361
0.4%
0.514694451
0.4%
0.54973371
0.4%
0.584671381
0.4%
ValueCountFrequency (%)
24.113353731
0.4%
15.927579881
0.4%
9.65902711
0.4%
8.358016971
0.4%
7.733003141
0.4%
7.194587711
0.4%
6.970702651
0.4%
6.825786591
0.4%
6.735339641
0.4%
6.559281831
0.4%

2001
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct229
Distinct (%)98.7%
Missing34
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean2.976065382
Minimum0.1064138
Maximum17.65759659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:20.250078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1064138
5-th percentile0.750252034
Q11.409608243
median2.4528234
Q34.064216617
95-th percentile6.45218024
Maximum17.65759659
Range17.55118279
Interquartile range (IQR)2.654608375

Descriptive statistics

Standard deviation2.186791236
Coefficient of variation (CV)0.7347927396
Kurtosis9.835848659
Mean2.976065382
Median Absolute Deviation (MAD)1.185136346
Skewness2.249668184
Sum690.4471687
Variance4.782055908
MonotonicityNot monotonic
2022-04-02T15:04:20.375747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.7275228182
 
0.8%
0.83096368052
 
0.8%
2.1389747892
 
0.8%
1.786068081
 
0.4%
0.582913281
 
0.4%
1.592446091
 
0.4%
1.177922491
 
0.4%
1.351420041
 
0.4%
5.9886780541
 
0.4%
4.94875241
 
0.4%
Other values (219)219
82.3%
(Missing)34
 
12.8%
ValueCountFrequency (%)
0.10641381
0.4%
0.189875751
0.4%
0.242153271
0.4%
0.325033041
0.4%
0.371070771
0.4%
0.455494051
0.4%
0.509787441
0.4%
0.52728171
0.4%
0.545100151
0.4%
0.582913281
0.4%
ValueCountFrequency (%)
17.657596591
0.4%
12.385027891
0.4%
11.87368871
0.4%
7.946529391
0.4%
7.755438331
0.4%
7.074610711
0.4%
7.061656481
0.4%
7.046383861
0.4%
6.826497551
0.4%
6.642242431
0.4%

2002
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct231
Distinct (%)99.1%
Missing33
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean2.970013976
Minimum0.08418062
Maximum11.75090027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:20.498110image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.08418062
5-th percentile0.607429052
Q11.41283405
median2.46180677
Q34.07068014
95-th percentile6.483202443
Maximum11.75090027
Range11.66671965
Interquartile range (IQR)2.65784609

Descriptive statistics

Standard deviation2.042451707
Coefficient of variation (CV)0.6876909414
Kurtosis1.882619115
Mean2.970013976
Median Absolute Deviation (MAD)1.17503238
Skewness1.23001731
Sum692.0132564
Variance4.171608976
MonotonicityNot monotonic
2022-04-02T15:04:20.625278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.5325416952
 
0.8%
2.1727752732
 
0.8%
3.272002461
 
0.4%
0.790972051
 
0.4%
1.709673051
 
0.4%
1.372706891
 
0.4%
1.366775631
 
0.4%
6.3279229891
 
0.4%
5.168122291
 
0.4%
1.207367661
 
0.4%
Other values (221)221
83.1%
(Missing)33
 
12.4%
ValueCountFrequency (%)
0.084180621
0.4%
0.104293561
0.4%
0.158569281
0.4%
0.341175261
0.4%
0.358820441
0.4%
0.43198271
0.4%
0.485012681
0.4%
0.48772041
0.4%
0.526952861
0.4%
0.531332021
0.4%
ValueCountFrequency (%)
11.750900271
0.4%
11.406240461
0.4%
9.385074621
0.4%
7.925318241
0.4%
7.708092691
0.4%
7.460157391
0.4%
7.316396241
0.4%
7.293208121
0.4%
6.899340631
0.4%
6.779223441
0.4%

2003
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean3.01807887
Minimum0.19967191
Maximum13.33277512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:20.746956image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.19967191
5-th percentile0.638208141
Q11.49787873
median2.426525002
Q34.13224387
95-th percentile6.744240037
Maximum13.33277512
Range13.13310321
Interquartile range (IQR)2.63436514

Descriptive statistics

Standard deviation2.057952803
Coefficient of variation (CV)0.6818750906
Kurtosis2.265166433
Mean3.01807887
Median Absolute Deviation (MAD)1.143997788
Skewness1.273613797
Sum709.2485344
Variance4.235169738
MonotonicityNot monotonic
2022-04-02T15:04:20.873613image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9586016032
 
0.8%
0.75448498972
 
0.8%
2.187968922
 
0.8%
1.641524791
 
0.4%
7.139887811
 
0.4%
1.654594541
 
0.4%
1.518843291
 
0.4%
6.5270792461
 
0.4%
5.275046351
 
0.4%
1.070947291
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
0.199671911
0.4%
0.229555161
0.4%
0.243029461
0.4%
0.37685261
0.4%
0.422129961
0.4%
0.499047761
0.4%
0.501159131
0.4%
0.515496671
0.4%
0.531127211
0.4%
0.57045151
0.4%
ValueCountFrequency (%)
13.332775121
0.4%
10.257410051
0.4%
8.052424431
0.4%
7.907554631
0.4%
7.663586621
0.4%
7.471022131
0.4%
7.323709011
0.4%
7.139887811
0.4%
6.982685571
0.4%
6.914129261
0.4%

2004
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean2.991539226
Minimum0.16040288
Maximum12.06273365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:20.993292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.16040288
5-th percentile0.681442212
Q11.57070899
median2.36819863
Q34.06893635
95-th percentile6.723662899
Maximum12.06273365
Range11.90233077
Interquartile range (IQR)2.49822736

Descriptive statistics

Standard deviation1.993383624
Coefficient of variation (CV)0.6663404603
Kurtosis1.348930369
Mean2.991539226
Median Absolute Deviation (MAD)1.054413273
Skewness1.144865547
Sum703.011718
Variance3.973578274
MonotonicityNot monotonic
2022-04-02T15:04:21.117959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0179028922
 
0.8%
0.73092305862
 
0.8%
2.0880627052
 
0.8%
1.568390851
 
0.4%
4.672427181
 
0.4%
1.207672121
 
0.4%
1.456876521
 
0.4%
6.6112370721
 
0.4%
4.979908471
 
0.4%
1.181013351
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
0.160402881
0.4%
0.186194451
0.4%
0.241641521
0.4%
0.252234611
0.4%
0.435175751
0.4%
0.44411341
0.4%
0.54292561
0.4%
0.559935991
0.4%
0.571577491
0.4%
0.589475751
0.4%
ValueCountFrequency (%)
12.062733651
0.4%
9.466251371
0.4%
7.700440411
0.4%
7.551378731
0.4%
7.525626661
0.4%
7.38390971
0.4%
7.323081021
0.4%
6.996102811
0.4%
6.99580241
0.4%
6.7844138131
0.4%

2005
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean2.996202067
Minimum0.16990875
Maximum11.09584999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:21.242625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.16990875
5-th percentile0.656360331
Q11.48425025
median2.38873291
Q33.946240905
95-th percentile6.864028296
Maximum11.09584999
Range10.92594124
Interquartile range (IQR)2.461990655

Descriptive statistics

Standard deviation2.05932633
Coefficient of variation (CV)0.6873122319
Kurtosis0.995882715
Mean2.996202067
Median Absolute Deviation (MAD)1.0399847
Skewness1.155103639
Sum704.1074858
Variance4.240824934
MonotonicityNot monotonic
2022-04-02T15:04:21.364299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9530940752
 
0.8%
0.76200881042
 
0.8%
2.0003480822
 
0.8%
1.602061631
 
0.4%
9.261902811
 
0.4%
1.482268931
 
0.4%
1.362804411
 
0.4%
6.626903191
 
0.4%
4.546773911
 
0.4%
1.920178891
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
0.169908751
0.4%
0.206717881
0.4%
0.218068851
0.4%
0.261290731
0.4%
0.43213491
0.4%
0.503627361
0.4%
0.529094341
0.4%
0.52918411
0.4%
0.535742221
0.4%
0.573264481
0.4%
ValueCountFrequency (%)
11.095849991
0.4%
10.376135831
0.4%
9.261902811
0.4%
7.803444391
0.4%
7.612812521
0.4%
7.430153851
0.4%
7.410659791
0.4%
7.247194771
0.4%
6.994199751
0.4%
6.916829111
0.4%

2006
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean2.964563539
Minimum0.22633369
Maximum10.87369251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:21.489063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.22633369
5-th percentile0.621626682
Q11.476521375
median2.36401582
Q34.00420475
95-th percentile6.808052397
Maximum10.87369251
Range10.64735882
Interquartile range (IQR)2.527683375

Descriptive statistics

Standard deviation2.053090465
Coefficient of variation (CV)0.6925439237
Kurtosis1.186500875
Mean2.964563539
Median Absolute Deviation (MAD)1.14663494
Skewness1.169021916
Sum696.6724316
Variance4.215180458
MonotonicityNot monotonic
2022-04-02T15:04:21.620711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9875903052
 
0.8%
0.73946141132
 
0.8%
2.059680342
 
0.8%
1.559238311
 
0.4%
10.873692511
 
0.4%
1.328744411
 
0.4%
1.674880271
 
0.4%
6.7808218211
 
0.4%
4.165332321
 
0.4%
2.058413511
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
0.226333691
0.4%
0.248357191
0.4%
0.261260721
0.4%
0.269026191
0.4%
0.293856171
0.4%
0.489377051
0.4%
0.497840021
0.4%
0.548535471
0.4%
0.554921811
0.4%
0.557803331
0.4%
ValueCountFrequency (%)
10.873692511
0.4%
10.834197041
0.4%
9.609383581
0.4%
7.689892291
0.4%
7.659407621
0.4%
7.402237421
0.4%
7.080490111
0.4%
7.063415051
0.4%
6.981108191
0.4%
6.94344331
0.4%

2007
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean3.021714036
Minimum0.20322418
Maximum16.81926346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:21.743383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.20322418
5-th percentile0.618339358
Q11.497320355
median2.395493778
Q34.03092337
95-th percentile6.86328914
Maximum16.81926346
Range16.61603928
Interquartile range (IQR)2.533603015

Descriptive statistics

Standard deviation2.212156349
Coefficient of variation (CV)0.7320865978
Kurtosis6.046197082
Mean3.021714036
Median Absolute Deviation (MAD)1.100239228
Skewness1.787438085
Sum710.1027986
Variance4.893635711
MonotonicityNot monotonic
2022-04-02T15:04:21.860439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9538515842
 
0.8%
0.74984379032
 
0.8%
2.0859077742
 
0.8%
1.551866291
 
0.4%
16.819263461
 
0.4%
1.034289841
 
0.4%
1.624777671
 
0.4%
6.8910051021
 
0.4%
4.688954831
 
0.4%
1.501687771
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
0.203224181
0.4%
0.240667331
0.4%
0.243250491
0.4%
0.289754121
0.4%
0.559947551
0.4%
0.564135071
0.4%
0.570348861
0.4%
0.585253181
0.4%
0.586518351
0.4%
0.588300291
0.4%
ValueCountFrequency (%)
16.819263461
0.4%
10.132653241
0.4%
9.88244821
0.4%
9.157233241
0.4%
7.805927281
0.4%
7.555439951
0.4%
7.334084031
0.4%
7.229979991
0.4%
7.06243421
0.4%
6.93927241
0.4%

2008
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean3.057613417
Minimum0.17093375
Maximum12.60140991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:21.981174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.17093375
5-th percentile0.596312931
Q11.531213225
median2.333150718
Q34.249113325
95-th percentile7.183172904
Maximum12.60140991
Range12.43047616
Interquartile range (IQR)2.7179001

Descriptive statistics

Standard deviation2.202583579
Coefficient of variation (CV)0.7203603853
Kurtosis1.577699471
Mean3.057613417
Median Absolute Deviation (MAD)1.104446283
Skewness1.25589348
Sum718.539153
Variance4.851374423
MonotonicityNot monotonic
2022-04-02T15:04:22.109831image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.7977697912
 
0.8%
0.78585782532
 
0.8%
2.118961822
 
0.8%
1.592904091
 
0.4%
12.601409911
 
0.4%
1.925408121
 
0.4%
1.597308161
 
0.4%
7.1991628251
 
0.4%
4.131216051
 
0.4%
1.550482871
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
0.170933751
0.4%
0.269593061
0.4%
0.291661441
0.4%
0.297799971
0.4%
0.433373271
0.4%
0.513325331
0.4%
0.514250281
0.4%
0.530933741
0.4%
0.561527431
0.4%
0.562899711
0.4%
ValueCountFrequency (%)
12.601409911
0.4%
10.51
0.4%
10.292490961
0.4%
9.910738951
0.4%
7.991418361
0.4%
7.717681881
0.4%
7.41639281
0.4%
7.387097841
0.4%
7.26968051
0.4%
7.251727581
0.4%

2009
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean3.303402466
Minimum0.18705817
Maximum12.05714226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:22.232503image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.18705817
5-th percentile0.652626487
Q11.596191585
median2.6471591
Q34.422523006
95-th percentile7.59569978
Maximum12.05714226
Range11.87008409
Interquartile range (IQR)2.826331421

Descriptive statistics

Standard deviation2.281785507
Coefficient of variation (CV)0.6907379682
Kurtosis0.6799769731
Mean3.303402466
Median Absolute Deviation (MAD)1.25570798
Skewness1.048897593
Sum776.2995795
Variance5.206545102
MonotonicityNot monotonic
2022-04-02T15:04:22.358167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0449081292
 
0.8%
0.86261269212
 
0.8%
2.4368807932
 
0.8%
1.81426741
 
0.4%
6.320946691
 
0.4%
1.486504081
 
0.4%
1.811661011
 
0.4%
7.8444751521
 
0.4%
3.457705021
 
0.4%
1.537775641
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
0.187058171
0.4%
0.260251161
0.4%
0.311614871
0.4%
0.373981831
0.4%
0.438216061
0.4%
0.479055581
0.4%
0.521334711
0.4%
0.531903511
0.4%
0.568584441
0.4%
0.570012451
0.4%
ValueCountFrequency (%)
12.057142261
0.4%
11.282934191
0.4%
9.015398031
0.4%
8.594117161
0.4%
8.502123831
0.4%
8.175518041
0.4%
8.097360611
0.4%
7.978064541
0.4%
7.875232221
0.4%
7.875100611
0.4%

2010
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct233
Distinct (%)98.7%
Missing30
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean3.237843745
Minimum0.19247182
Maximum14.35294151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:22.477847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.19247182
5-th percentile0.5996274825
Q11.565297565
median2.51197803
Q34.459868195
95-th percentile7.553879145
Maximum14.35294151
Range14.16046969
Interquartile range (IQR)2.89457063

Descriptive statistics

Standard deviation2.289435919
Coefficient of variation (CV)0.7070865982
Kurtosis1.716305412
Mean3.237843745
Median Absolute Deviation (MAD)1.23259798
Skewness1.207423432
Sum764.1311238
Variance5.241516828
MonotonicityNot monotonic
2022-04-02T15:04:22.595533image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0724879862
 
0.8%
0.83827438972
 
0.8%
2.2210110182
 
0.8%
1.810502651
 
0.4%
7.591755871
 
0.4%
1.593802331
 
0.4%
1.679105641
 
0.4%
7.8992105871
 
0.4%
3.987658741
 
0.4%
1.311938051
 
0.4%
Other values (223)223
83.8%
(Missing)30
 
11.3%
ValueCountFrequency (%)
0.192471821
0.4%
0.360444551
0.4%
0.362978431
0.4%
0.397858261
0.4%
0.427146761
0.4%
0.448470321
0.4%
0.453724621
0.4%
0.469157341
0.4%
0.56376661
0.4%
0.571709161
0.4%
ValueCountFrequency (%)
14.352941511
0.4%
9.702496531
0.4%
8.667426111
0.4%
8.417647361
0.4%
8.399001121
0.4%
8.079295161
0.4%
8.003481861
0.4%
7.944765091
0.4%
7.90767671
0.4%
7.8992105871
0.4%

2011
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct235
Distinct (%)99.2%
Missing29
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean3.229634205
Minimum0.23041078
Maximum13.5405407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:22.948560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.23041078
5-th percentile0.57941458
Q11.51699734
median2.564951004
Q34.31459713
95-th percentile7.711361884
Maximum13.5405407
Range13.31012992
Interquartile range (IQR)2.79759979

Descriptive statistics

Standard deviation2.275856127
Coefficient of variation (CV)0.7046792243
Kurtosis1.314011518
Mean3.229634205
Median Absolute Deviation (MAD)1.264412816
Skewness1.147336163
Sum765.4233066
Variance5.179521109
MonotonicityNot monotonic
2022-04-02T15:04:23.079240image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.4058210792
 
0.8%
2.0623032862
 
0.8%
2.131928211
 
0.4%
0.749749661
 
0.4%
1.771709921
 
0.4%
1.622571831
 
0.4%
1.764822721
 
0.4%
7.8632266691
 
0.4%
4.092099191
 
0.4%
1.272296671
 
0.4%
Other values (225)225
84.6%
(Missing)29
 
10.9%
ValueCountFrequency (%)
0.230410781
0.4%
0.354090661
0.4%
0.366939011
0.4%
0.381176621
0.4%
0.404956251
0.4%
0.415699871
0.4%
0.421672051
0.4%
0.436905591
0.4%
0.479377331
0.4%
0.479999781
0.4%
ValueCountFrequency (%)
13.54054071
0.4%
10.067100521
0.4%
8.800009731
0.4%
8.782550811
0.4%
8.489215851
0.4%
8.130681991
0.4%
8.128016471
0.4%
8.065305711
0.4%
7.927893161
0.4%
7.90883971
0.4%

2012
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct234
Distinct (%)99.2%
Missing30
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean3.243110363
Minimum0.34288704
Maximum13.47222137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:23.202477image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.34288704
5-th percentile0.65308346
Q11.471453695
median2.623351969
Q34.314447042
95-th percentile7.644571897
Maximum13.47222137
Range13.12933433
Interquartile range (IQR)2.842993347

Descriptive statistics

Standard deviation2.257585478
Coefficient of variation (CV)0.6961173766
Kurtosis1.191407262
Mean3.243110363
Median Absolute Deviation (MAD)1.356443846
Skewness1.117020618
Sum765.3740456
Variance5.096692189
MonotonicityNot monotonic
2022-04-02T15:04:23.334159image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.29928132
 
0.8%
0.899624592
 
0.8%
4.194417951
 
0.4%
1.90073181
 
0.4%
1.346653461
 
0.4%
1.864872691
 
0.4%
7.8498520891
 
0.4%
3.870527511
 
0.4%
1.039934751
 
0.4%
0.544366781
 
0.4%
Other values (224)224
84.2%
(Missing)30
 
11.3%
ValueCountFrequency (%)
0.342887041
0.4%
0.41354931
0.4%
0.415007711
0.4%
0.436701711
0.4%
0.457545221
0.4%
0.504446861
0.4%
0.514313581
0.4%
0.52423371
0.4%
0.532609461
0.4%
0.544366781
0.4%
ValueCountFrequency (%)
13.472221371
0.4%
9.04077531
0.4%
8.95682431
0.4%
8.6006671
0.4%
8.188073161
0.4%
8.062923431
0.4%
8.052424431
0.4%
8.043314931
0.4%
7.941051481
0.4%
7.900499341
0.4%

2013
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean3.289435205
Minimum0.34224948
Maximum13.92105198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:23.457800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.34224948
5-th percentile0.689802948
Q11.57661682
median2.691232816
Q34.428337815
95-th percentile7.780671788
Maximum13.92105198
Range13.5788025
Interquartile range (IQR)2.851720995

Descriptive statistics

Standard deviation2.269899551
Coefficient of variation (CV)0.6900575355
Kurtosis1.492140639
Mean3.289435205
Median Absolute Deviation (MAD)1.378040596
Skewness1.153580088
Sum773.0172733
Variance5.152443971
MonotonicityNot monotonic
2022-04-02T15:04:23.584960image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3385493912
 
0.8%
0.85637047572
 
0.8%
1.8610435482
 
0.8%
7.592152121
 
0.4%
1.082876921
 
0.4%
1.957690481
 
0.4%
2.086727381
 
0.4%
1.893570661
 
0.4%
7.8879143021
 
0.4%
4.181222441
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
0.342249481
0.4%
0.427214741
0.4%
0.443358121
0.4%
0.488585081
0.4%
0.488763961
0.4%
0.489278411
0.4%
0.49843411
0.4%
0.500739281
0.4%
0.523739341
0.4%
0.551602071
0.4%
ValueCountFrequency (%)
13.921051981
0.4%
9.16231061
0.4%
9.13836671
0.4%
8.994336131
0.4%
8.569008831
0.4%
8.405676841
0.4%
8.041275021
0.4%
8.038703921
0.4%
7.970097061
0.4%
7.946190361
0.4%

2014
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean3.344748788
Minimum0.44593188
Maximum14.1219511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:23.705350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.44593188
5-th percentile0.612509938
Q11.62000072
median2.78856063
Q34.49735689
95-th percentile7.964150762
Maximum14.1219511
Range13.67601922
Interquartile range (IQR)2.87735617

Descriptive statistics

Standard deviation2.300450144
Coefficient of variation (CV)0.687779648
Kurtosis1.753127531
Mean3.344748788
Median Absolute Deviation (MAD)1.36954951
Skewness1.195908994
Sum786.0159651
Variance5.292070864
MonotonicityNot monotonic
2022-04-02T15:04:23.821297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.7110832262
 
0.8%
0.84541444882
 
0.8%
1.8049593232
 
0.8%
7.970195291
 
0.4%
1.252344731
 
0.4%
2.476304051
 
0.4%
2.207892661
 
0.4%
2.030881641
 
0.4%
8.144817061
 
0.4%
3.8836051
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
0.445931881
0.4%
0.470943061
0.4%
0.472656551
0.4%
0.479379061
0.4%
0.505541091
0.4%
0.514152531
0.4%
0.550809381
0.4%
0.554914241
0.4%
0.575328591
0.4%
0.58764751
0.4%
ValueCountFrequency (%)
14.12195111
0.4%
10.957571031
0.4%
9.199369431
0.4%
9.025016781
0.4%
8.563678741
0.4%
8.489528661
0.4%
8.238881111
0.4%
8.23115541
0.4%
8.144817061
0.4%
8.138470651
0.4%

2015
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean3.419346686
Minimum0.37891248
Maximum13.17021275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:23.941970image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.37891248
5-th percentile0.640128576
Q11.654010175
median2.974489705
Q34.449403765
95-th percentile7.918770552
Maximum13.17021275
Range12.79130027
Interquartile range (IQR)2.79539359

Descriptive statistics

Standard deviation2.295705832
Coefficient of variation (CV)0.6713872686
Kurtosis1.275539843
Mean3.419346686
Median Absolute Deviation (MAD)1.364280475
Skewness1.102288888
Sum803.5464712
Variance5.270265266
MonotonicityNot monotonic
2022-04-02T15:04:24.069631image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.7964644232
 
0.8%
0.90081153412
 
0.8%
1.9385972652
 
0.8%
8.663884161
 
0.4%
1.418839221
 
0.4%
2.375490671
 
0.4%
2.673993111
 
0.4%
2.033614161
 
0.4%
8.3839499891
 
0.4%
4.212684631
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
0.378912481
0.4%
0.429312051
0.4%
0.433044821
0.4%
0.455852931
0.4%
0.465357481
0.4%
0.46612621
0.4%
0.522672831
0.4%
0.537798521
0.4%
0.554401641
0.4%
0.559982661
0.4%
ValueCountFrequency (%)
13.170212751
0.4%
11.574963571
0.4%
9.071299551
0.4%
9.038667681
0.4%
8.663884161
0.4%
8.609555241
0.4%
8.607650761
0.4%
8.452505111
0.4%
8.3839499891
0.4%
8.28431321
0.4%

2016
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)99.1%
Missing32
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean3.465395495
Minimum0.37905285
Maximum12.07547188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:24.193410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.37905285
5-th percentile0.70791163
Q11.669230493
median2.972319075
Q34.468640144
95-th percentile8.070588831
Maximum12.07547188
Range11.69641903
Interquartile range (IQR)2.799409652

Descriptive statistics

Standard deviation2.306582383
Coefficient of variation (CV)0.6656043694
Kurtosis0.7149904833
Mean3.465395495
Median Absolute Deviation (MAD)1.40677958
Skewness1.014515801
Sum810.9025459
Variance5.320322291
MonotonicityNot monotonic
2022-04-02T15:04:24.324520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9142754692
 
0.8%
2.9723190752
 
0.8%
1.677962781
 
0.4%
6.338005541
 
0.4%
1.633260251
 
0.4%
1.199349161
 
0.4%
2.517403361
 
0.4%
2.690712931
 
0.4%
1.88885571
 
0.4%
8.4910398221
 
0.4%
Other values (222)222
83.5%
(Missing)32
 
12.0%
ValueCountFrequency (%)
0.379052851
0.4%
0.406106891
0.4%
0.474969361
0.4%
0.484642951
0.4%
0.539980891
0.4%
0.551224711
0.4%
0.573999941
0.4%
0.574909811
0.4%
0.599532071
0.4%
0.600128231
0.4%
ValueCountFrequency (%)
12.075471881
0.4%
10.948016171
0.4%
9.654619221
0.4%
9.144488331
0.4%
9.042789461
0.4%
8.957455641
0.4%
8.682378771
0.4%
8.618759161
0.4%
8.557327271
0.4%
8.533850671
0.4%

2017
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean3.450583865
Minimum0.14560163
Maximum11.78571415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:24.451180image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.14560163
5-th percentile0.695915008
Q11.713074685
median3.0033567
Q34.55762911
95-th percentile8.162248707
Maximum11.78571415
Range11.64011252
Interquartile range (IQR)2.844554425

Descriptive statistics

Standard deviation2.269650083
Coefficient of variation (CV)0.6577582728
Kurtosis0.5306071537
Mean3.450583865
Median Absolute Deviation (MAD)1.45510591
Skewness0.9520703268
Sum810.8872083
Variance5.151311501
MonotonicityNot monotonic
2022-04-02T15:04:24.580805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.20946242
 
0.8%
0.94226500882
 
0.8%
2.0089218492
 
0.8%
8.780954361
 
0.4%
1.238830331
 
0.4%
2.559041021
 
0.4%
2.46794511
 
0.4%
1.922189241
 
0.4%
8.4383029351
 
0.4%
4.057786461
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
0.145601631
0.4%
0.406036261
0.4%
0.413527161
0.4%
0.498388621
0.4%
0.532657681
0.4%
0.563578611
0.4%
0.590818941
0.4%
0.599968311
0.4%
0.638932651
0.4%
0.643133941
0.4%
ValueCountFrequency (%)
11.785714151
0.4%
10.474861151
0.4%
9.135705951
0.4%
8.974144941
0.4%
8.805286411
0.4%
8.780954361
0.4%
8.596490861
0.4%
8.512189871
0.4%
8.4383029351
0.4%
8.435704231
0.4%

2018
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean3.476635369
Minimum0.21044466
Maximum15.57900333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:24.705500image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.21044466
5-th percentile0.681709665
Q11.700775685
median2.969204194
Q34.671698095
95-th percentile7.995840434
Maximum15.57900333
Range15.36855867
Interquartile range (IQR)2.97092241

Descriptive statistics

Standard deviation2.347980434
Coefficient of variation (CV)0.6753599918
Kurtosis2.366649324
Mean3.476635369
Median Absolute Deviation (MAD)1.528502696
Skewness1.199130973
Sum817.0093116
Variance5.513012118
MonotonicityNot monotonic
2022-04-02T15:04:24.825658image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.8922554282
 
0.8%
0.90616280712
 
0.8%
2.022458992
 
0.8%
8.590871811
 
0.4%
1.404560091
 
0.4%
2.5779141
 
0.4%
2.402207851
 
0.4%
1.923857091
 
0.4%
8.403632491
 
0.4%
3.87119771
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
0.210444661
0.4%
0.425892141
0.4%
0.49088351
0.4%
0.497543391
0.4%
0.49796231
0.4%
0.549220141
0.4%
0.553499881
0.4%
0.557671611
0.4%
0.601002161
0.4%
0.615814031
0.4%
ValueCountFrequency (%)
15.579003331
0.4%
9.946233751
0.4%
9.276338581
0.4%
9.004026411
0.4%
8.881781581
0.4%
8.703294751
0.4%
8.590871811
0.4%
8.493910791
0.4%
8.472342491
0.4%
8.447372441
0.4%

2019
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)99.1%
Missing32
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean3.546249268
Minimum0.12061489
Maximum17.79838181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T15:04:24.951322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.12061489
5-th percentile0.7506219512
Q11.667826082
median3.006896326
Q34.816905145
95-th percentile8.22016444
Maximum17.79838181
Range17.67776692
Interquartile range (IQR)3.149079062

Descriptive statistics

Standard deviation2.437626602
Coefficient of variation (CV)0.6873816299
Kurtosis4.195573825
Mean3.546249268
Median Absolute Deviation (MAD)1.602860035
Skewness1.432873863
Sum829.8223287
Variance5.942023451
MonotonicityNot monotonic
2022-04-02T15:04:25.071061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.6752522442
 
0.8%
2.0097324312
 
0.8%
1.102808711
 
0.4%
2.916349171
 
0.4%
2.409715651
 
0.4%
1.996595981
 
0.4%
8.4560982791
 
0.4%
3.985120771
 
0.4%
2.023153781
 
0.4%
0.482649181
 
0.4%
Other values (222)222
83.5%
(Missing)32
 
12.0%
ValueCountFrequency (%)
0.120614891
0.4%
0.462584561
0.4%
0.482649181
0.4%
0.520958481
0.4%
0.532411991
0.4%
0.540996131
0.4%
0.559367181
0.4%
0.578249511
0.4%
0.66633351
0.4%
0.735146521
0.4%
ValueCountFrequency (%)
17.798381811
0.4%
10.125061041
0.4%
9.224834441
0.4%
9.091778761
0.4%
9.029426571
0.4%
9.009339331
0.4%
8.524923321
0.4%
8.4560982791
0.4%
8.447359091
0.4%
8.442306521
0.4%

2020
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

Interactions

2022-04-02T15:04:15.857596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T15:03:37.590245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T15:03:39.485378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T15:03:41.738503image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T15:03:43.694066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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Correlations

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Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-04-02T15:04:26.109465image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-04-02T15:04:26.891463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-04-02T15:04:27.595350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-04-02T15:04:18.143626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-04-02T15:04:19.040080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-04-02T15:04:19.474914image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

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